IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-658-40411-6_7.html
   My bibliography  Save this book chapter

Factor Analysis

In: Multivariate Analysis

Author

Listed:
  • Klaus Backhaus

    (University of Münster)

  • Bernd Erichson

    (Otto-von-Guericke-University Magdeburg)

  • Sonja Gensler

    (University of Münster)

  • Rolf Weiber

    (University of Trier)

  • Thomas Weiber

Abstract

The explorative factor analysis is a procedure of multivariate analysis which aims at identifying structures in large sets of variables. Large sets of variables are often characterized by the fact that as the number of variables increases, it may be assumed that more and more variables are correlated. The exploratory factor analysis aims to structure the relationships in a large set of variables to the extent that it identifies groups of variables that are highly correlated with each other and separates them from less correlated groups. The groups of highly correlated variables are called factors. Apart from the structuring function, factor analysis is also used for data reduction. At the end of the chapter, there is also a brief outlook on confirmatory factor analysis, in which predefined factor structures are examined.

Suggested Citation

  • Klaus Backhaus & Bernd Erichson & Sonja Gensler & Rolf Weiber & Thomas Weiber, 2023. "Factor Analysis," Springer Books, in: Multivariate Analysis, edition 2, chapter 0, pages 381-452, Springer.
    • Handle: RePEc:spr:sprchp:978-3-658-40411-6_7
    DOI: 10.1007/978-3-658-40411-6_7
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-658-40411-6_7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.